Job Description: Provides mathematical modeling and analysis services to support critical financial, operational, and/or strategic planning decisions and engages in supporting project teams in value added activities that generate practical solutions to complex business problems, explores new business alternatives, and drives improvement in business decisions. Job Responsibilities: Develops the approach and methods to define and solve management problems through quantitative analysis and analytical models, using operations research, statistics, machine learning, forecasting techniques and structured programming languages Provides on-going analytical services to client organizations Builds mathematical modeling, forecasting, applications development, and provides client support Leverages understanding of the business process to identify and implement solutions that will result in significant bottom-line contributions Participates in model design, prototype, and model development for several efforts that occur simultaneously, and interfaces with product delivery groups Identifies, researches, or solves large complex problems using big data Designs analytic plan/develop hypotheses to test; understands limitations of analysis (what it can and cannot be used for) Understands the intuition behind the numbers (i.e. does it make sense?) Keeps informed about the latest analytical methods and research Communicates results to management and clients Contributes deck content and builds the story for the deck with guidance to summarize findings Speaks in a manner appropriate for working team and their level +1 Job Requirements: Advanced degree (MS, or PhD or ABD) in operations research, statistics, or other related quantitative discipline involving quantitative analysis and application of advanced operations research principles/statistical methods If MS, 1.5+ years of experience applying operations research principles/statistical methods for solving complex business problems Coursework or work experience with mathematical programming or probability/ forecasting techniques Coursework or work experience in model prototyping through use of either optimization toolkit(s) including CPLEX, AMPL, or OPL, or statistical package(s) including SAS or SPSS, Minitab and/or BI tools Coursework or work experience with C, C++, Java, R, Python, or other structured programming language Good business, technical, verbal/written communication, presentation and sales skills. Adaptability to changing business environment Qualification & Experience: Minor in computer science and/or formal advanced computer science coursework preferred Experience with Julia programming language Knowledge of United/industry data sources Structured programming for large-scale computer models 2+ years of professional experience in analytical field 1+ years of airline business experience 1+ years designing and programming/coding data structures for large-scale computer models Demonstrated ability to create business value Job Details: Company: United Airlines Vacancy Type: Full Time Job Location: Chicago, IL Application Deadline: N/A Apply Here careers-trivia.net
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